Qdrant AI Builders : Deep Dive into MCP @ AWS Loft with CrewAI & Arize
Join Us at the AWS GenAI Loft in San Francisco
Come spend an evening with us at the intersection of cutting-edge AI applications and infrastructure. We’re bringing together builders from across the AI stack to share how they’re using vector search and the Model Context Protocol (MCP) to power the next wave of intelligent apps.
🚀 What to Expect
👥 Company Spotlights to Kick Things Off
We’ll start the evening with quick, insightful presentations from some of the most exciting AI companies using Qdrant and MCP in production:
Smithery – Unified marketplace where you can find, use, and ship capabilities for your agents
Arize AI – Observability and evaluation for LLMs and RAG pipelines
CrewAI – Multi-agent collaboration fueled by structured memory and contextual awareness
🧠 Then, a Deep Dive into Qdrant + MCP
After hearing how others are building, we’ll walk you through how it all works under the hood—starting with an overview of MCP and then showcasing the Qdrant MCP server. You’ll see how tools like qdrant-store and qdrant-find make it easy to integrate semantic memory into any AI workflow.
⚡ Live Demo: Building with MCP
See it in action—live! We’ll build a working example that combines vector search and protocol-driven memory to enable powerful RAG and agent workflows.
🤝 Close with Networking & Community
Stick around to meet fellow developers, AI engineers, and product teams over snacks, drinks, and great conversation.
🗓️ Agenda
5:00 PM – Doors Open & Networking
5:20 PM – Smithery
5:30 PM – Arize
5:45 PM – CrewAI
6:00 PM – Deep Dive into MCP
7:00 PM – Q & A + Networking
8:30 PM – Doors Close
✅ Why Attend?
Learn how top AI companies are using Qdrant and MCP today
Get hands-on insight into building with vector search and semantic memory
Connect with fellow builders shaping the future of AI infrastructure
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